# Random Forest Classification with Parallel Computing

## Documentation for package ‘ParallelForest’ version 1.1.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

accessors.forest | Accessor method for forest class
easy_2var_data | Easy to fit dataset for decision trees
forest-class | Class '"forest"'
grow.forest | Growing random decision forest classifier
low_high_earners | Low earners and high earners, training dataset
low_high_earners_test | Low earners and high earners, testing dataset
predict-method | Predict method for random decision forest classifier fits
predict.forest | Predict method for random decision forest classifier fits
predict.tree | Predict method for random decision forest classifier fits
[-method | Accessor method for forest class